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Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data

Overview of attention for book
Cover of 'Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Building a Collation Element Table for a Large Chinese Character Set in YES
  3. Altmetric Badge
    Chapter 2 Improved Learning of Chinese Word Embeddings with Semantic Knowledge
  4. Altmetric Badge
    Chapter 3 Incorporating Word Clustering into Complex Noun Phrase Identification
  5. Altmetric Badge
    Chapter 4 A Three-Layered Collocation Extraction Tool and Its Application in China English Studies
  6. Altmetric Badge
    Chapter 5 The Designing and Construction of Domain-oriented Vietnamese-English-Chinese FrameNet
  7. Altmetric Badge
    Chapter 6 Semantic Role Labeling Using Recursive Neural Network
  8. Altmetric Badge
    Chapter 7 A Comparative Analysis of Chinese Simile and Metaphor Based on a Large Scale Chinese Corpus
  9. Altmetric Badge
    Chapter 8 Chinese Textual Entailment Recognition Enhanced with Word Embedding
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    Chapter 9 Negative Emotion Recognition in Spoken Dialogs
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    Chapter 10 Incorporating Sample Filtering into Subject-Based Ensemble Model for Cross-Domain Sentiment Classification
  12. Altmetric Badge
    Chapter 11 Insight into Multiple References in an MT Evaluation Metric
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    Chapter 12 A Hybrid Sentence Splitting Method by Comma Insertion for Machine Translation with CRF
  14. Altmetric Badge
    Chapter 13 Domain Adaptation for SMT Using Sentence Weight
  15. Altmetric Badge
    Chapter 14 Types and Constructions of Exocentric Adjectives in Tibetan
  16. Altmetric Badge
    Chapter 15 Mongolian Speech Recognition Based on Deep Neural Networks
  17. Altmetric Badge
    Chapter 16 Tibetan Word Segmentation as Sub-syllable Tagging with Syllable’s Part-of-Speech Property
  18. Altmetric Badge
    Chapter 17 Learning Distributed Representations of Uyghur Words and Morphemes
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    Chapter 18 EHLLDA: A Supervised Hierarchical Topic Model
  20. Altmetric Badge
    Chapter 19 Graph-Based Dependency Parsing with Recursive Neural Network
  21. Altmetric Badge
    Chapter 20 A Neural Network Based Translation Constrained Reranking Model for Chinese Dependency Parsing
  22. Altmetric Badge
    Chapter 21 Distantly Supervised Neural Network Model for Relation Extraction
  23. Altmetric Badge
    Chapter 22 Learning Entity Representation for Named Entity Disambiguation
  24. Altmetric Badge
    Chapter 23 Exploring Recurrent Neural Networks to Detect Named Entities from Biomedical Text
  25. Altmetric Badge
    Chapter 24 Predicting Implicit Discourse Relations with Purely Distributed Representations
  26. Altmetric Badge
    Chapter 25 Answer Quality Assessment in CQA Based on Similar Support Sets
  27. Altmetric Badge
    Chapter 26 Learning to Rank Answers for Definitional Question Answering
  28. Altmetric Badge
    Chapter 27 A WordNet Expansion-Based Approach for Question Targets Identification and Classification
  29. Altmetric Badge
    Chapter 28 Clustering Chinese Product Features with Multilevel Similarity
  30. Altmetric Badge
    Chapter 29 Improving Link Prediction in Social Networks by User Comments and Sentiment Lexicon
  31. Altmetric Badge
    Chapter 30 Finite-to-Infinite N-Best POMDP for Spoken Dialogue Management
  32. Altmetric Badge
    Chapter 31 Academic Paper Recommendation Based on Heterogeneous Graph
  33. Altmetric Badge
    Chapter 32 Learning Document Representation for Deceptive Opinion Spam Detection
  34. Altmetric Badge
    Chapter 33 A Practical Keyword Recommendation Method Based on Probability in Digital Publication Domain
  35. Altmetric Badge
    Chapter 34 Automatic Knowledge Extraction and Data Mining from Echo Reports of Pediatric Heart Disease: Application on Clinical Decision Support
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
2 X users
patent
1 patent
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
26 Mendeley
Summary X Patents Wikipedia Dimensions citations
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-25816-4
ISBNs
978-3-31-925816-4, 978-3-31-925815-7
Authors

Maosong Sun, Zhiyuan Liu, Min Zhang, Yang Liu

Editors

Sun, Maosong, Liu, Zhiyuan, Zhang, Min, Liu, Yang

View on publisher site Google Preview
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 12%
Student > Postgraduate 2 8%
Unknown 21 81%
Readers by discipline Count As %
Computer Science 5 19%
Unknown 21 81%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 March 2024.
All research outputs
#4,773,853
of 23,932,490 outputs
Outputs from Lecture notes in computer science
#1,469
of 8,168 outputs
Outputs of similar age
#65,739
of 359,608 outputs
Outputs of similar age from Lecture notes in computer science
#70
of 258 outputs
Altmetric has tracked 23,932,490 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,168 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 359,608 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 258 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.

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